Hui‐Fuang Ng

1.3k total citations · 1 hit paper
47 papers, 926 citations indexed

About

Hui‐Fuang Ng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Hui‐Fuang Ng has authored 47 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Plant Science. Recurrent topics in Hui‐Fuang Ng's work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (4 papers). Hui‐Fuang Ng is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (4 papers). Hui‐Fuang Ng collaborates with scholars based in Malaysia, Taiwan and United States. Hui‐Fuang Ng's co-authors include Chih‐Yang Lin, Robert J. Horvat, I‐Chi Chen, R. Vance Morey, Lee-Peng Ng, R. A. Meronuck, Hung‐Khoon Tan, Stephanie Doores, John N. Sofos and William H. Sveum and has published in prestigious journals such as Nature, IEEE Access and Sensors.

In The Last Decade

Hui‐Fuang Ng

46 papers receiving 861 citations

Hit Papers

Automatic thresholding for defect detection 2006 2026 2012 2019 2006 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Automatic thresholding for defect detection
    2006 418 citations Hui‐Fuang Ng profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hui‐Fuang Ng Malaysia 14 335 239 131 112 84 47 926
Mohd Zaid Abdullah Malaysia 21 244 0.7× 268 1.1× 77 0.6× 90 0.8× 303 3.6× 121 1.5k
J.M. Prats-Montalbán Spain 19 94 0.3× 99 0.4× 99 0.8× 116 1.0× 281 3.3× 55 1.1k
Xiaoqing Ye China 23 845 2.5× 92 0.4× 111 0.8× 68 0.6× 86 1.0× 85 1.5k
Muhammad Juhairi Aziz Safar Malaysia 10 143 0.4× 28 0.1× 46 0.4× 95 0.8× 53 0.6× 42 733
Yang Tao China 19 158 0.5× 46 0.2× 86 0.7× 20 0.2× 100 1.2× 94 1.1k
Yanwei Li China 15 821 2.5× 82 0.3× 100 0.8× 31 0.3× 21 0.3× 47 1.2k
Jordi Pagès Spain 12 962 2.9× 69 0.3× 257 2.0× 18 0.2× 27 0.3× 23 1.4k

Countries citing papers authored by Hui‐Fuang Ng

Since Specialization
Citations

This map shows the geographic impact of Hui‐Fuang Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui‐Fuang Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Fuang Ng more than expected).

Fields of papers citing papers by Hui‐Fuang Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Fuang Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui‐Fuang Ng. The network helps show where Hui‐Fuang Ng may publish in the future.

Co-authorship network of co-authors of Hui‐Fuang Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Fuang Ng. A scholar is included among the top collaborators of Hui‐Fuang Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui‐Fuang Ng. Hui‐Fuang Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kuo, Chia-Chen, et al.. (2024). Seismic Layer Segmentation Models with Channel Attention Block in Carbon Storage Study. 1–6. 2 indexed citations
3.
Liew, Soung‐Yue, et al.. (2023). GraphAT Net: A Deep Learning Approach Combining TrajGRU and Graph Attention for Accurate Cumulonimbus Distribution Prediction. Atmosphere. 14(10). 1506–1506. 2 indexed citations
4.
Lin, Chih‐Yang, et al.. (2023). Moving Object Detection for Complex Scenes by Merging BG Modeling and Deep Learning Method. Journal of Artificial Intelligence and Soft Computing Research. 13(3). 151–163. 1 indexed citations
5.
Tan, Hung‐Khoon, et al.. (2021). Regularization of Deep Neural Network With Batch Contrastive Loss. IEEE Access. 9. 124409–124418. 9 indexed citations
6.
Ng, Hui‐Fuang, et al.. (2021). Plant Disease Detection Mobile Application Development using Deep Learning. 34–38. 9 indexed citations
7.
Ng, Hui‐Fuang, et al.. (2021). DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization. IEEE Access. 9. 169082–169091. 8 indexed citations
8.
Lin, Chih‐Yang, et al.. (2020). Global-and-Local Context Network for Semantic Segmentation of Street View Images. Sensors. 20(10). 2907–2907. 18 indexed citations
9.
Lin, Chih‐Yang, Chialin Wu, Hui‐Fuang Ng, & Timothy K. Shih. (2020). An Interpretable Visual Attention Plug-in for Convolutions. IEEE Access. 8. 136992–137003. 1 indexed citations
10.
Lin, Chih‐Yang, et al.. (2019). High Efficient Single-stage Steel Surface Defect Detection. 1–4. 20 indexed citations
11.
Tung, Chi‐Hua, et al.. (2016). QuaBingo: A Prediction System for Protein Quaternary Structure Attributes Using Block Composition. BioMed Research International. 2016. 1–10. 4 indexed citations
12.
Ng, Hui‐Fuang, et al.. (2014). Fast image matching using multi-level texture descriptor. 2. 1–5. 1 indexed citations
13.
Lin, Chih‐Yang, et al.. (2013). Reversible joint fingerprinting and decryption based on side match vector quantization. Signal Processing. 98. 52–61. 9 indexed citations
14.
Ng, Hui‐Fuang & Yen-Wei Chu. (2008). Illumination Invariant Color Model for Image Matching and Object Recognition. 95–99. 3 indexed citations
15.
Ng, Hui‐Fuang, et al.. (1998). MACHINE VISION COLOR CALIBRATION IN ASSESSING CORN KERNEL DAMAGE. Transactions of the ASAE. 41(3). 727–732. 7 indexed citations
16.
Ng, Hui‐Fuang, et al.. (1995). Relationship Between Equilibrium Relative Humidity and Deterioration of Shelled Corn. Transactions of the ASAE. 38(4). 1139–1145. 13 indexed citations
17.
Stern, N.J., L.C. Blankenship, Stephanie Doores, et al.. (1985). Prevalence and Distribution of Campylobacter jejuni and Campylobacter coli in Retail Meats. Journal of Food Protection. 48(7). 595–599. 68 indexed citations
18.
Weaver, M. L., Hui‐Fuang Ng, D. W. Burke, et al.. (1984). Effect of Soil Moisture Tension on Pod Retention and Seed Yield of Beans. HortScience. 19(4). 567–569. 10 indexed citations
19.
Horvat, Robert J., et al.. (1969). Identification of some acids from autoxidation of methyl linoleate. Journal of the American Oil Chemists Society. 46(2). 94–96. 22 indexed citations
20.
Horvat, Robert J., et al.. (1964). Saturated Hydrocarbons from Autoxidizing Methyl Linoleate. Nature. 203(4944). 523–524. 59 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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